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Perspective: Reaches of chemical physics in biology. [PDF]
J Chem Phys, 2013Chemical physics as a discipline contributes many experimental tools, algorithms, and fundamental theoretical models that can be applied to biological problems.
Gruebele M, Thirumalai D.
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The scalar chemical potential in cosmological collider physics [PDF]
Journal of High Energy Physics, 2021Non-analyticity in co-moving momenta within the non-Gaussian bispectrum is a distinctive sign of on-shell particle production during inflation, presenting a unique opportunity for the “direct detection” of particles with masses as large as the ...
Arushi Bodas+2 more
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Chemical physics of water. [PDF]
Proc Natl Acad Sci U S A, 2017There is hardly any aspect of our lives that is not profoundly influenced by water. From climate to commerce and agriculture to health, water shapes our physical environment, regulates the major energy exchanges that determine climate on Earth, and is ...
Debenedetti PG, Klein ML.
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Enhanced molecular yield from a cryogenic buffer gas beam source via excited state chemistry [PDF]
New Journal of Physics, 2020We use narrow-band laser excitation of Yb atoms to substantially enhance the brightness of a cold beam of YbOH, a polyatomic molecule with high sensitivity to physics beyond the standard model (BSM).
Arian Jadbabaie+4 more
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Chemical physics of protein folding. [PDF]
Proc Natl Acad Sci U S A, 2012In 2008, to the consternation of some, one of the editors of this special issue on the “Chemical Physics of Protein Folding,” was quoted as saying, “What was called the protein folding problem 20 years ago is solved” (1). One purpose of this special issue is to drive home this point. The other, more important purpose is to illustrate how workers on the
Wolynes PG, Eaton WA, Fersht AR.
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Non-covalent interactions across organic and biological subsets of chemical space: Physics-based potentials parametrized from machine learning [PDF]
Journal of Chemical Physics, 2018Classical intermolecular potentials typically require an extensive parametrization procedure for any new compound considered. To do away with prior parametrization, we propose a combination of physics-based potentials with machine learning (ML), coined ...
Tristan Bereau+3 more
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Scientific school of plasma nanotechnologies and plasma power engineering in Mining University [PDF]
Известия высших учебных заведений: Прикладная нелинейная динамика, 2021Abstract. The article is written for the 55th Anniversary of St. Petersburg Mining University Plasma School. Purpose. It is needed to highlight the history of teaching and research physical branches at the Mining University, as well as reflect ...
Popova, Anna Nikolaevna+2 more
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Journal of Chemical Physics, 2021
We examine the many open questions that arise for nonadiabatic dynamics in the presence of degenerate electronic states, e.g., for singlet-to-triplet intersystem crossing where a minimal Hamiltonian must include four states (two of which are always ...
Xuezhi Bian+5 more
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We examine the many open questions that arise for nonadiabatic dynamics in the presence of degenerate electronic states, e.g., for singlet-to-triplet intersystem crossing where a minimal Hamiltonian must include four states (two of which are always ...
Xuezhi Bian+5 more
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Machine learning meets chemical physics.
Journal of Chemical Physics, 2021Over recent years, the use of statistical learning techniques applied to chemical problems has gained substantial momentum. This is particularly apparent in the realm of physical chemistry, where the balance between empiricism and physics-based theory ...
Michele Ceriotti+2 more
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QCD Phase Boundary and the Hadrochemical Horizon
Physics, 2022I review the physics of the phase boundary between hadronic matter and quark matter from several different points of view. These include thermodynamics, statistical physics, and chemical kinetics.
Berndt Müller
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