A proposta do programa é reunir estudantes e cientistas interessados em discutir temas relevantes na física de partículas, cosmologia e astrofísica de partículas.
Todos estão convidados a participar das reuniões, mas se recomenda a leitura do artigo com antecedência, para que se possa acompanhar a discussão.
Clique aqui para saber qual artigo será discutido no próximo encontro.
Paul Dupree is Professor of Plant Biochemistry in the Department of Biochemistry, University of Cambridge, UK. He studies how plants synthesise polysaccharides, and has developed genetic modification of plants to understand polysaccharide functions and interactions. The research has impact in the fields of bioenergy, paper manufacture and the use of timber in building construction. He has productive collaborations in the University of São Paulo/Sao Carlos and Campinas. He was named in 2015 as one of the world’s most highly cited researchers in Plant and Animal science by Thomson Reuters.
Several novel theoretical proposals involving cold atom clouds and Bose-Einstein condensates (BEC) trapped and monitored using shaped and driven dipole laser potentials are reviewed. In the first part of the talk, Iwill present the cold atoms beam-splitter as a basic atom optics component in the thermal[1,2] and condensed regime [3]. Then, I move to a discussion of the specific properties of Bose-Einstein condensation in Laguerre-Gauss optical potentials[4,5]. In the last part, I present our most recent work dealing with species-selective lattice launch for high-precision atom interferometry[6,7]. We propose a new technique to selectively and simultaneously accelerate different atomic species (41K and 87Rb BECs) by driven optical lattices to operate atomic fountains with dual sources launched with the same velocity. Our method would allow for accurate tests of General relativity weak equivalence principle . The choice of Bose-Einstein condensed input states as a case study is motivated by the expected performance of atom interferometers based on these novel source concepts.
References :
[1]N. Gaaloul, A. Suzor-Weiner, L. Pruvost, M. Telmini et E. Charron, Phys. Rev. A 74 023620 (2006).
[2] N. Gaaloul, A. Jaouadi, M. Telmini, L. Pruvost and E. Charron, AIP Conf. Proc. 935, 10 (2007)
[3] N. Gaaloul, A. Jaouadi, L. Pruvost, M. Telmini and E. Charron, Eur. Phys. J. D53, 343-351 (2009)
[4] A. Jaouadi, N. Gaaloul, B. Viaris de Lesegno, M. Telmini, L. Pruvost and E. Charron. Phys. Rev. A 82, 023613 (2010)
[5] A. Jaouadi, M. Telmini and E. Charron, Phys. Rev. A 83, 320616 (2011)
[6] R. Chamakhi, H. Ahlers, M. Telmini, C. Schubert,E. Rasel, N. Gaaloul, New J. Phys, 17 123002 (2015)
[7] R. Chamakhi, H. Ahlers, M. Telmini, C. Schubert,E. Rasel, N. Gaaloul, New J. Phys, 18 118002 (2016)
The realization and the control of long range interactions with atomic 
systems at very low temperatures opens up a whole new realm of many-body physics that has become a central focus of research. In the first part I will show from a theoretical perspective how non-local Ising interactions in optical lattices can provide an optimal playground for the engineering of exotic crystalline phases that has been recently realized in the lab [1,2]. In the second part I will focus on the quantum phases of dipolar bosons at zero and finite temperature. I will discuss the superfluid properties of such phases investigated via Path intergral Monte Carlo methods and the possibility of observing them in the laboratory [3].
[1] H. Labuhn, D. Barredo, S. Ravets, S. de Leseleuc, T. Macri, T. Lahaye, A. Browaeys,
Nature 534, 667 (2016)
[2] P. Schauß, J. Zeiher, T. Fukuhara, S. Hild, M. Cheneau, T. Macri, T. Pohl, I. Bloch, C.
Gross, Science 347, 1455 (2015)
[3] F. Cinti, A. Cappellaro, L. Salasnich, T. Macri, arXiv:1610.03119 (2016)
Graduado em Farmácia (Universidade Federal do Rio Grande do Sul, 2003) e Doutor em Ciências Farmacêuticas (PPGCF/UFRGS, 2008). Fez estágio de pós-doutoramento no Centro de Biotecnologia da UFRGS (2009). Professor Adjunto no Departamento de Química da Universidade Federal Rural do Rio de Janeiro (Seropédica, RJ) desde 2009. Atua na área de Química Orgânica/Medicinal, ministrando disciplinas teóricas e práticas das duas áreas em nível de graduação e pós-graduação, e em pesquisa com ênfase na síntese e avaliação farmacológica de novos compostos bioativos empregando produtos naturais como precursores e na síntese de novos compostos heterociclos com potencial atividade farmacológica a partir de reações multicomponente.
Transparent conducting oxides (TCO) are materials that combine electrical conductivity, with transparency around 90% in visible spectrum. Although these oxides have been deeply studied, several questions remain unsolved such as the role of the atomic radius and the stability of the gallia (Ga2O3) structure and an atomic-orbital understanding of the crystal structure, electronic states, symmetry, and chemical species in the disparity between the optical and fundamental band gap in In2O3 bixbyite. Those questions were addressed by first-principles calculations based on density functional theory, and a solid explanation will reported for the crystal stability of the gallia structure and three fundamental rules to explain the band gap disparity, which can be applied for every compound: (i) inversion symmetry in the crystal structure; (ii) conduction band minimum formed by cations and O
Títulos dos seminários:
“Carbon screen-printed electrodes on paper, modified with a sensing hydrogel layer, for the detection of monosaccharides using electrical impedance Spectroscopy” (Cristiane Daikuzono)
“Carbon nanotube-based biosensor for detection of a pancreatic cancer biomarker” (Anshu Thapa)
Os seminários terão início às 16 horas e serão realizados na sala 147, localizada no piso térreo do Prédio dos LEF do IFSC, próxima aos anfiteatros azul e verde.
We explore quantum and classical correlations along with coherence in the ground state of spin-1 Heisenberg chains, namely the one-dimensional XXZ model and the one-dimensional bilinear biquadratic model, with the techniques of density matrix renormalization group theory. Exploiting the tools of quantum information theory, that is, by studying quantum discord, quantum mutual information, and three recently introduced coherence measures in the reduced matrix of two nearest neighbor spins in the bulk, we investigate the quantum phase transitions and special symmetry points in these models. We point out the relative strengths and weaknesses of correlation and coherence measures as figures of merit to witness the quantum phase transitions and symmetry points in the considered spin-1 Heisenberg chains. In particular, we demonstrate that as none of the studied measures can detect the infinite-order Kosterlitz-Thouless transition in the XXZ model, they appear to be able to signal the existence of the same type of transition in the bilinear quadratic model. However, we argue that what is actually detected by the measures here is the SU(3) symmetry point of the model, rather than the infinite order quantum phase transition. Moreover, we show in the XXZ model that examining even single-site coherence can be sufficient to spotlight the second-order phase transition and the SU(2) symmetry point.
Micro/nanomotors, based on a multiples propulsion mechanisms, have been developed over the past decade toward diverse applications. The ability of the micro/nanomotors to rapidly move in different mediums represents a novel approach in areas like environmental remediation, diseases treatment, self-healing and biosensors. In this presentation, we journey from the production and use of chemically powered to externally actuated (fuel-free) micro/nanovehicles platforms and its prospects and challenges for such practical propelling systems.
In this presentation I willdiscuss different experimental methods for the fabrication and characterization of mono- and bi-metallic clusters and nanoparticlesin the gas phase by physical means. When embedded in stable solid matrices, they form cluster-assembled nanostructures with variable properties. In particular I will address the following topics as ex-amples:
– Fabrication of cluster-assembled nanostructures: magnetron sputtering/aggregation versus laser vaporization.
– Size effects in the magnetic anisotropy of embedded cobalt nanoparticles: from sur-face to shape.
– Size effects in the electronic and vibrational relaxation in small silver clusters as evi-denced by ultrafast femtosecond spectroscopy: the departure from the scalable size regime.
– Study of size effects in the electronic structure of size-selected very small silver clus-ters: preliminary results from optical spectroscopy and electron energy loss spectros-copy.
– Structural, optical and magnetic properties of bi-metallic FexAuy and FexAgy nanoparti-cles: optical spectroscopy, magnetometry and synchrotron-based XMCD and EXAFS.
I will conclude by an outlook on possibilities of research on polymer-embedded metal na-noparticles as scheduled in collaboration with IFSC-USP.
Schematic view of the fabrication principle of cluster-assembled nanostructures and high resolution electron micrograph of a small cobalt nanoparticle in a carbon matrix.
Conceptual engineering design and optimization of laser-based imaging techniques and optical diagnostic systems used in the field of biomedical optics requires a clear understanding of the light-tissue interaction and peculiarities of localization of the detected optical radiation within the medium. The description of photon migration within the turbid tissue-like media is based on the concept of radiative transfer that forms a basis of Monte Carlo (MC) modelling. An opportunity of direct simulation of influence of structural variations of biological tissues on the probing light makes Monte Carlo a primary tool for biomedical optics and optical engineering. Due to the diversity of optical modalities utilizing different properties of light and mechanisms of light-tissue interactions a new Monte Carlo code is typically required to be developed for the particular diagnostic application. In current Lecture introducing an object oriented concept of Monte Carlo modelling and utilizing modern web applications we present the generalized and unified computational tool suitable for the major applications in Biophotonics and Biomedical Optics.
Regularising QCD on a lattice is by now a well established tool to study the strong interaction in the low-energy regime where perturbation theory is not reliable anymore. Theoretical and algorithmic developments combined with facilities of large scale high performance computers induced significant progresses to explore the parameter space, even reaching the physical point: now, simulations are performed at the correct pion mass.
Those steps forward offer also the opportunity to solve difficult questions, either on old problems or on hot topics of the moment. After a brief presentation of the general state of the art, we will illustrate our statement by discussing cases of the strong coupling constant, g-2 anomaly of the muon and Delta I = 1/2 rule in K –> pi pi.
Desenvolvimento de um novo fármaco é um processo longo e pleno de desafios.
Quanto mais informação se dispõe sobre o(s) mecanismo(s) de uma doença, maior é a probabilidade de encontrar uma terapia apropriada.
Por outro lado, o quanto melhor e mais cedo uma enfermidade puder ser diagnosticada, maiores são as chances de poder interferir no processo patológico com uma entidade química ou biológica.
Esta premissa estabelece a base para o uso de técnicas de imagens no campo da farmacologia. A relevância dessas técnicas para a obtenção e quantificação de informação anatômica, funcional, metabólica ou molecular no contexto da pesquisa farmacológica in vivo será discutida e ilustrada através de exemplos oriundos de diferentes especialidades, da neurologia à oncologia.
The Drugs for Neglected Diseases initiative (DNDi) is a 
patient-needs driven, not-for-profit research and development (R&D) organization that develops safe, effective, and affordable medicines for the millions of neglected patients across the world. DNDi focuses on developing new treatments for the most neglected patients suffering from diseases such as human African trypanosomiasis (sleeping sickness), leishmaniasis, Chagas disease, filariasis, paediatric HIV, mycetoma, and hepatitis C. The initiative’s primary objective is to deliver a total of 16 to 18 treatments by 2023 and to establish a strong R&D portfolio for these diseases. The R&D strategies developed by DNDi since its inception aim to address the immediate needs of patients by improving existing therapeutic options in the short term, whilst undertaking longer term research to identify and develop entirely new compounds which will be valuable adapted tools, particularly for elimination targets set by the World Health Organization. In 2013, DNDi began building a new consortium in Latin America (LOLA), providing support and mentoring for young scientists in the region. The consortia conduct hit-to-lead and lead optimization activities for visceral leishmaniasis and Chagas disease via a decentralized virtual model, and the talk focus will be the innovative R&D model and the efforts aiming at strengthening research capacities in the region. Jadel Kratz joined DNDi in June 2016 as Lead Optimization Latin America Coordinator focused in drug discovery projects in the region. He supports both the global and local R&D teams, and promotes the expansion of a regional consortia of scientific partners. Prior to joining DNDi, Dr. Kratz participated and coordinated academic research projects across various areas. Recently, he worked as R&D Coordinator at Cristália, a Brazilian-based pharmaceutical company. Dr Kratz is a pharmacist, and earned his PhD in Pharmaceutical Sciences (2011) at the Universidade Federal de Santa Catarina, Florianópolis, Brazil, with a visiting researcher period at the Uppsala University, Sweden. He completed postdoctoral fellowships at the University of Innsbruck and the University of Vienna, Austria.
In recent years we have seen a rise in the use of computer-aided drug design tools in pharmaceutical companies as a result of advances in the underlying methods coupled with vast increases in computational resources. Here, we present an overview of the tools in the Schrödinger Suites, including ligand-based and structure-based approaches. We show that improvements in the underlying force field can improve results across a broad range of applications. We also show that molecular dynamics simulations can be used to accurately predict protein conformational states and protein-ligand binding free energies. Woody Sherman is Vice President of Applications Science at Schrödinger. He received his B.S. in Physical Chemistry from the University of California at Santa Barbara where he studied nonlinear optical properties of organic polymers using computational quantum mechanics. He completed his Ph.D. at MIT working in Professor Bruce Tidor’s lab where he examined the role of electrostatics in protein-ligand binding and implemented a novel method for optimizing ligand binding specificity across a panel of targets. While in graduate school he completed an internship at Biogen where he helped develop novel methods to enhance antibody affinity through electrostatic charge optimization, resulting in a publication and patent. At Schrödinger, he is involved in applications projects, product development, methods development, and scientific software support. He also works closely with customers on research projects and collaborations. Woody has published on a broad range of topics, including induced-fit docking, ensemble docking, protein design, small molecule optimization, cheminformatics, hybrid ligand/structure-based methods, free energy simulations, charge optimization, pharmacophore modeling, and more. He is a reviewer for top journals in computational chemistry and drug design and is on the Editorial Board of both Chemical Biology & Drug Design and Journal of Chemical Information and Modeling.
Faruck Morcos is an assistant professor in the Department of Biological Sciences and Department of Bioengineering at the University of Texas at Dallas. He is also member of the Center for Systems Biology at UT Dallas. Before starting his lab at UT Dallas, he was a postdoctoral fellow at the Center for Theoretical Biological Physics, first at the University of California San Diego and later at Rice University. He received his Ph.D. in Computer Science (Computational Biology) from the University of Notre Dame. He also holds a M.S. in Electrical Engineering from the Technical University of Munich and a M.S. in Applied Mathematics from Notre Dame. He has a B.S. (Honors) in Electronics and Communications Engineering from ITESM Campus Monterrey. In 2010, he received the Research Excellence Award given by the Computer Science Department at the University of Notre Dame. In 2005, the Kellogg Institute for International Studies awarded him the Kellogg Fellowship for Graduate Studies at the University of Notre Dame and in 2002 he received the Werner von Siemens Excellence Award to pursue graduate studies in Germany. His research focuses on applications of information theory, statistical inference and physical modeling to study molecular structure, function and interactions. His current interests include molecular coevolution and the analysis of biological information to study disease.
– What is a pharmaceutical (small molecule vs biologic), innovative, branded, generic product?
– Relative market sizes and evolution over time: market sizes by type, by geographies, by therapeutic area (by sales);
– Top biopharma players; some key products (noticeable breakthroughs rather than simply size);
– Increase in number of companies and products under development (in numbers and by therapeutic area) has been large;
– However, only a small number is approved each year;
– And the cost of developing a drug has increased significantly;
– Industry R&D productivity has been in serious decline for years;
– But opportunities for successful products still exist…
– What does it take to develop a product?
– Tunnel charts: show how long it takes to develop a drug (pre-competitive and competitive spaces);
– Approval rates and costs by phase (and by therapeutic area?);
– Product lifecycle;
– Characterization of industry segments;
– Forces of change: overview of strategic.
As interpretações que lhe contaram de mecanica quântica são realmente as que saem dos experimentos? Ou mesmo as que saem dos postulados formais da teoria? Que argumentos descartaram a possibilidade de uma interpretação causal para a mecânica quântica na época em que a controversia ainda tinha lugar entre os principais pesquisadores da área, marginalizando todas as tentativas posteriores de formular descrições não probabilísticas (não causais) de processos quânticos? A mecânica bohmiana, resultado dos trabalho de David Bohm nos anos 50, é atualmente mencionada por físicos quase sempre como uma curiosidade histórica e não como uma alternativa teórica de fato, sendo subestimada e amplamente ignorada por esses. Nesse Filosofísica, o nosso queridíssimo filosofísico Iago Israel, vai nos explicar (bem do começo) o que a teoria de Bohm tem de diferente, interessante e como ela tenta contornar alguns aspectos problemáticos (para alguns) da interpretação usual, puramente probabilística.
Vejamos se ainda têm sentido hoje as indagações de John Bell que, para alguns, já teria colocado um ponto final nessas questões: “Por que será que a visão da onda piloto está ignorada nos livros de mecânica quântica? Não seria o caso de ensiná-la, não como a via única, mas como um antídoto a autossatisfação vigente?”
