98%
921
2 minutes
20
Using the example of astatine, the heaviest naturally occurring halogen whose isotope At-211 has promising medical applications, we propose a new infrastructure for large-scale computational models of heavy elements with strong relativistic effects. In particular, we focus on developing an accurate force field for At in water based on reliable relativistic density functional theory (DFT) calculations. To ensure the reliability of such calculations, we design novel basis sets for relativistic DFT, via the particle swarm optimization algorithm to optimize the coefficients of the new basis sets and the polarization-consistent basis set idea's extension to heavy elements to eliminate the basis set error from DFT calculations. The resulting basis sets enable the well-grounded evaluation of relativistic DFT against "gold-standard" CCSD(T) results. Accounting for strong relativistic effects, including spin-orbit interaction, via our redesigned infrastructure, we elucidate a noticeable dissimilarity between At and I in halide-water force field parameters, radial distribution functions, diffusion coefficients, and hydration energies. This work establishes the framework for the systematic development of polarization-consistent basis sets for relativistic DFT and accurate force fields for molecular dynamics simulations to be used in large-scale models of complex molecular systems with elements from the bottom of the periodic table, including actinides and even superheavy elements.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1021/acs.jctc.3c00826 | DOI Listing |
J Chem Phys
September 2025
School of Materials, Sun Yat-Sen University, Shenzhen, Guangdong 518107, China.
We introduce an extended formulation of the non-Markovian stochastic Schrödinger equation with complex frequency modes (extended cNMSSE), designed for simulating open quantum system dynamics under arbitrary spectral densities. This extension employs non-exponential basis sets to expand the bath correlation functions, overcoming the reliance of the original cNMSSE on exponential decompositions of the spectral density. Consequently, the extended cNMSSE is applicable to environments beyond those characterized by Debye-type spectral densities.
View Article and Find Full Text PDFJ Neural Eng
September 2025
Department of Computer Science and Engineering College of Engineering, University of Washington, Box 352350, Seattle, WA 98195-2350, USA, Seattle, Washington, 98105, UNITED STATES.
Unlabelled: Closed-loop neural stimulation provides novel therapies for neurological diseases such as Parkinson's disease (PD), but it is not yet clear whether artificial intelligence (AI) techniques can tailor closed-loop stimulation to individual patients or identify new therapies. Further advancements are required to address a number of difficulties with translating AI to this domain, including sample efficiency, training time, and minimizing loop latency such that stimulation may be shaped in response to changing brain activity.
Approach: we propose temporal basis function models (TBFMs) to address these difficulties, and explore this approach in the context of excitatory optogenetic stimulation.
J Chem Theory Comput
September 2025
Department of Mathematics, University of California, Berkeley, California 94720, United States.
When calculating properties of periodic systems at the thermodynamic limit (TDL), the dominant source of finite size error (FSE) arises from the long-range Coulomb interaction, and can manifest as a slowly converging quadrature error when approximating an integral in the reciprocal space by a finite sum. The singularity subtraction (SS) method offers a systematic approach for reducing this quadrature error and thus the FSE. In this work, we first investigate the performance of the SS method in the simplest setting, aiming at reducing the FSE in exact exchange calculations by subtracting the Coulomb contribution with a single, adjustable Gaussian auxiliary function.
View Article and Find Full Text PDFACS Synth Biol
September 2025
Facultad de Ingeniería y Ciencias, Universidad Diego Portales, Av. Ejército Libertador 441, 8370191 Santiago, RM, Chile.
The complexity of the genetic circuit design limits accessibility and efficiency in synthetic biology. This study presents an integrated system that combines Cello software with large language models (DeepSeek-R1, Phi-4) and the LangChain framework in Python, which allows the creation, analysis, and optimization of genetic circuits using natural language instructions. automates the translation of textual descriptions into functional designs using Cello v2.
View Article and Find Full Text PDFJ Phys Chem A
September 2025
School of Physics and Optoelectronic Engineering, Yangtze University, Jingzhou 434023, China.
This study employs high-level calculation methods to explore the structural, electronic, and spectroscopic properties of the previously uncharacterized diatomic cation NaP. Detailed investigations focus on the manifold of low-lying Λ-S electronic states correlated with both Na + P and Na + P dissociation limits. The spin-orbit coupling effects are systematically evaluated, revealing the splitting of these states into distinct Ω components.
View Article and Find Full Text PDF