Results 221 to 230 of about 189,782 (285)

Disaggregation of Landslide Risk

Earth's Future, Volume 14, Issue 4, April 2026.
Abstract Quantifying and disaggregating landslide risk through probabilistic landslide risk analysis (PLRA) is critical for land use regulation and risk reduction. However, no transferable model for PLRA currently exists that resolves landslide consequences to individual buildings at regional scales.
William Pollock, Joseph Wartman
wiley   +1 more source

Sign Learning Kink-based (SiLK) Quantum Monte Carlo for molecular systems. [PDF]

J Chem Phys, 2016
Ma X, Hall RW, Löffler F, Kowalski K, Bhaskaran-Nair K, Jarrell M, Moreno J.   +6 more
europepmc   +1 more source

Mycorrhizal identity of neighbouring trees shapes seedling survival and plant–soil feedbacks through trait and light interactions

Functional Ecology, Volume 40, Issue 4, Page 922-938, April 2026.
Read the free Plain Language Summary for this article on the Journal blog. Abstract Plant–soil feedbacks (PSF) play a central role in determining forest community dynamics, with trees associated with arbuscular mycorrhizal fungi (AMF) often experiencing negative PSFs, while those associated with ectomycorrhizal fungi (EMF) experience positive PSFs ...
Sarah McCarthy‐Neumann, Katherine E. A. Wood, Inés Ibáñez, Richard K. Kobe   +3 more
wiley   +1 more source

Angle-Tuned Gross-Neveu Quantum Criticality in Twisted Bilayer Graphene: A Quantum Monte Carlo Study

Huang C, Parthenios N, Ulybyshev M, Zhang X, Assaad F, Classen L, Meng ZY.   +6 more
europepmc   +1 more source

A comparison between quantum chemistry and quantum Monte Carlo techniques for the adsorption of water on the (001) LiH surface. [PDF]

J Chem Phys, 2017
Tsatsoulis T, Hummel F, Usvyat D, Schütz M, Booth GH, Binnie SS, Gillan MJ, Alfè D, Michaelides A, Grüneis A.   +9 more
europepmc   +1 more source

FastMDAnalysis: Software for Automated Analysis of Molecular Dynamics Trajectories

Journal of Computational Chemistry, Volume 47, Issue 8, 30 March 2026.
FastMDAnalysis is a unified, automated framework that transforms complex, fragmented molecular dynamics analysis into a single, reproducible command. It integrates essential biophysical analysis, reducing scripting effort by >90%$$ >90\% $$ while ensuring full numerical accuracy for rigorous, publication‐ready insights.
Adekunle Aina, Derrick Kwan
wiley   +1 more source

ASH: A Multi‐Scale, Multi‐Theory Modeling Program

Journal of Computational Chemistry, Volume 47, Issue 8, 30 March 2026.
ASH is a Python‐based computational chemistry software for multi‐scale and multi‐theory computations (including QM/MM and ONIOM) and MD simulations. The program is designed for flexible workflows of molecular and biomolecular systems, allowing geometry optimizations, numerical frequencies, high‐level thermochemistry, MD and free‐energy simulations, NEB
Ragnar Bjornsson
wiley   +1 more source

Efficient Removal of Short‐Chain Perfluoroalkyl Substances by Cavity‐Directed Aggregation in a Molecular Cage Host

Angewandte Chemie, Volume 138, Issue 12, 16 March 2026.
A molecular cage exhibits strong entropy‐driven encapsulation of perfluoroalkyl substances (PFAS), accommodating up to four short‐chain guests as anionic aggregates. Guided by these molecular‐level insights, a novel host‐in‐host adsorbent is developed: mesoporous silica doped with 1 wt% cage achieves >98% removal of short‐ and long‐chain PFAS with full
Caroline V. I. Andersson, Sumali G. T. Mudiyanselage, Martin D. Peeks, Asja A. Kroeger, Jemma I. Virtue, Maximilian Mann, Justin M. Chalker, Michelle L. Coote, Martin R. Johnston, Witold M. Bloch   +9 more
wiley   +2 more sources

Classical criticality via quantum annealing. [PDF]

Nat Commun
Sathe P, King AD, Mniszewski SM, Coffrin C, Nisoli C, Caravelli F.   +5 more
europepmc   +1 more source

Assessing Proton Radiation Hardness of Antimony Chalcogenide Solar Cells

Solar RRL, Volume 10, Issue 6, 29 March 2026.
This paper discusses the effect of proton radiation on the device performance of antimony chalcogenide solar cells. Sb2S3 and Sb2(S, Se)3 solar cells are exposed to two different proton energies (100 and 300 keV) with fluences ranging from 1011 to 1014 protons/cm2.
Alisha Adhikari, Vijay C. Karade, Scott Lambright, Zachary Zawisza, Tamara Isaacs‐Smith, Joel Blodgett, Sabin Neupane, Samuel S. Erickson, Randy J. Ellingson, Yanfa Yan, Zhaoning Song   +10 more
wiley   +1 more source