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相关论文: DASP: Defect and Dopant ab-initio Simulation Packa…

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Defects are a universal feature of crystalline solids, dictating the key properties and performance of many functional materials. Given their crucial importance yet inherent difficulty in measuring experimentally, computational methods…

The Durham Adaptive Optics Simulation Platform (DASP) is a Monte-Carlo modelling tool used for the simulation of astronomical and solar adaptive optics systems. In recent years, this tool has been used to predict the expected performance of…

天体物理仪器与方法 · 物理学 2018-02-26 Alastair Basden , Nazim Bharmal , David Jenkins , Timothy Morris , James Osborn , Peng Jia , Lazar Staykov

We present a highly efficient molecular dynamics scheme for calculating the concentration profile of dopants implanted in group-IV alloy, and III-V zinc blende structure materials. Our program incorporates methods for reducing computational…

材料科学 · 物理学 2009-10-31 Keith M. Beardmore , Niels Gronbech-Jensen

Functional materials that enable many technological applications in our everyday lives owe their unique properties to defects that are carefully engineered and incorporated into these materials during processing. However, optimizing and…

材料科学 · 物理学 2023-03-23 Sokseiha Muy , Conrad Johnston , Nicola Marzari

The package fhi98PP allows one to generate norm-conserving pseudopotentials adapted to density-functional theory total-energy calculations for a multitude of elements throughout the periodic table, including first-row and transition metal…

材料科学 · 物理学 2009-10-31 Martin Fuchs , Matthias Scheffler

As transistors continue to scale down, device reliability has become a critical concern. In order to accurately simulate defect-induced reliability degradation in MOSFET based logic, memory and power devices, we develop RASP (Reliability Ab…

材料科学 · 物理学 2026-03-13 Xinjing Guo , Menglin Huang , Shiyou Chen

TurboGAP is a software package designed for efficient molecular dynamics simulations using Gaussian Approximation Potential (GAP) machine-learning interatomic potentials (MLIP). In this work, we enhance the capabilities of TurboGAP for…

应用物理 · 物理学 2026-05-26 Uttiyoarnab Saha , Ali Hamedani , Miguel A. Caro , Andrea E. Sand

The superposition of atomic potentials (SAP) approach has recently been shown to be a simple and efficient way to initialize electronic structure calculations [S. Lehtola, J. Chem. Theory Comput. 15, 1593 (2019)]. Here, we study the…

计算物理 · 物理学 2020-04-13 Susi Lehtola , Lucas Visscher , Eberhard Engel

We present a highly efficient molecular dynamics scheme for calculating the concentration depth profile of dopants in ion irradiated materials. The scheme incorporates several methods for reducing the computational overhead, plus a rare…

计算物理 · 物理学 2009-10-31 Keith M. Beardmore , Niels Gronbech-Jensen

We present the VASPKIT, a command-line program that aims at providing a powerful and user-friendly interface to perform high-throughput analysis of a variety of material properties from the raw data produced by the VASP code. It consists of…

材料科学 · 物理学 2021-06-03 Vei Wang , Nan Xu , Jin Cheng Liu , Gang Tang , Wen-Tong Geng

Point defects have a strong influence on the physical properties of materials, often dominating the electronic and optical behavior in semiconductors and insulators. The simulation and analysis of point defects is therefore crucial for…

材料科学 · 物理学 2024-03-12 Jimmy-Xuan Shen , Lars F. Voss , Joel Basile Varley

The SLUSCHI (Solid and Liquid in Ultra Small Coexistence with Hovering Interfaces) automated package, with interface to the first-principles code VASP (Vienna Ab initio Simulation Package), was developed by us for efficiently determining…

材料科学 · 物理学 2024-08-27 Audrey CampBell , Ligen Wang , Qi-Jun Hong

ABACUS (Atomic-orbital Based Ab-initio Computation at USTC) is an open-source software for first-principles electronic structure calculations and molecular dynamics simulations. It mainly features density functional theory (DFT) and…

Atomically thin two-dimensional (2D) materials are ideal hosts of quantum defects as they offer easier control, manipulation and read-out of defect states compared to bulk systems. Here we introduce the Quantum Point Defect (QPOD) database…

材料科学 · 物理学 2021-10-06 Fabian Bertoldo , Sajid Ali , Simone Manti , Kristian S. Thygesen

Machine learning interatomic potentials (MLIPs) have become a workhorse of modern atomistic simulations, and recently published universal MLIPs, pre-trained on large datasets, have demonstrated remarkable accuracy and generalizability.…

材料科学 · 物理学 2024-12-04 Juno Nam , Jiayu Peng , Rafael Gómez-Bombarelli

Structure and function in nanoscale atomistic assemblies are tightly coupled, and every atom with its specific position and even every electron will have a decisive effect on the electronic structure, and hence, on the molecular properties.…

化学物理 · 物理学 2024-02-21 Katja-Sophia Csizi , Markus Reiher

Simulation of the intermediate levels of disorder found in multi-component multi-sublattice systems in various functional materials is a challenging issue, even for state-of-the-art methodologies based on first-principles calculation. Here,…

材料科学 · 物理学 2023-09-12 Shusuke Kasamatsu , Yuichi Motoyama , Kazuyoshi Yoshimi , Tatsumi Aoyama

RESPACK is a first-principles calculation software for evaluating the interaction parameters of materials and is able to calculate maximally localized Wannier functions, response functions based on the random phase approximation and related…

To facilitate rational molecular and materials design, this research proposes an integrated computational framework that combines stochastic simulation, ab initio quantum chemistry, and molecular docking. The suggested workflow allows…

材料科学 · 物理学 2026-01-08 Md Rakibul Karim Akanda , Michael P. Richard

Density functionals with asymptotic corrections to the long-range potential provide entry-level methods for calculations on molecules that can sustain charge transfer, but similar applications in Materials Science are rare. We describe an…

材料科学 · 物理学 2022-02-04 Musen Li , Jeffrey R. Reimers , Michael J. Ford , Rika Kobayashi , Roger D. Amos
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