2025 New's Items

One-dimensional heterocyclic carbene–Au metal–organic frameworks bridging ultra-high vacuum models and scalable liquid-phase growth

Leonardo Cielo
Mattia Cattelan
Luca Schio
Leonardo Longo
Federico Grillo
Boyu Qie
Ziyi Wang
Luca Floreano
Christopher J. Baddeley
Francesco Sedona
Cristina Tubaro
Felix R. Fischer
Stefano Agnoli
2025

The controlled design of molecule–metal interfaces is central to the development of functional nanomaterials for catalysis, sensing, and molecular electronics. Here we show that the adsorption of a Janus-type diimidazolium precursor on gold yields one-dimensional (1D) N-heterocyclic carbene (NHC)–Au–NHC metal organic frameworks (MOFs) featuring positively charged gold nodes. Using synchrotron X-ray photoemission spectroscopy (XPS), near edge X-ray adsorption fine structure (NEXAFS) spectroscopy and scanning tunnelling microscopy (STM), we demonstrate that thermal activation promotes...

Interferometric scattering microscopy

Naomi S. Ginsberg
Chia-Lung Hsieh
Philipp Kukura
Marek Piliarik
Vahid Sandoghdar
2025

Over the past two decades, interferometric scattering (iSCAT) microscopy has become a powerful label-free imaging method with a range of applications in fundamental science and technology. iSCAT detects the scattering of subwavelength entities through interference with a reference beam of light. Performed in a variety of illumination and detection schemes, iSCAT has exploited both amplitude and phase information to reach single-molecule detection sensitivity; to determine the size, mass and refractive index of nanoparticles; to achieve high spatiotemporal precision in 3D tracking of...

Enhancing nanoscale charged colloid crystallization near a metastable liquid binodal

Christian P. N. Tanner
Vivian R. K. Wall
Joshua Portner
Ahhyun Jeong
Avishek Das
James K. Utterback
Leo M. Hamerlynck
Jonathan G. Raybin
Matthew J. Hurley
Nicholas Leonard
Rebecca B. Wai
Jenna A. Tan
Mumtaz Gababa
Chenhui Zhu
Eric Schaible
Christopher J. Tassone
David T. Limmer
Samuel W. Teitelbaum
Dmitri V. Talapin
Naomi S. Ginsberg
2025

Bottom-up assembly of nanocrystals (NCs) into ordered arrays, or superlattices (SLs), is a promising route to design materials with new functionalities, but the degree of control over assembly into functional structures remains challenging. Using electrostatics, rather than density, to tune the interactions between semiconductor NCs, we watch self-assembly proceeding through a metastable liquid phase. We systematically investigate the phase behavior as a function of quench conditions in situ and in real time using small angle X-ray scattering (SAXS). Through quantitative fitting to...

Accurate Point Defect Energy Levels from Non-Empirical Screened Range-Separated Hybrid Functionals: the Case of Native Vacancies in ZnO

Sijia Ke
Stephen E. Gant
Leeor Kronik
Jeffrey B. Neaton
2025

We use density functional theory (DFT) with non-empirically tuned screened range-separated hybrid (SRSH) functionals to calculate the electronic properties of native zinc and oxygen vacancy point defects in ZnO, and we predict their defect levels for thermal and optical transitions in excellent agreement with available experiments and prior calculations that use empirical hybrid functionals. The ability of this non-empirical first-principles framework to accurately predict quantities of relevance to both bulk- and defect-level spectroscopy enables high-accuracy DFT calculations with...

Exciton thermalization dynamics in monolayer MoS2: A first-principles Boltzmann equation study

Yang-hao Chan
Jonah B. Haber
Mit H. Naik
Steven G. Louie
Jeffrey B. Neaton
Felipe H. da Jornada
Diana Y. Qiu
2025

Understanding exciton thermalization is critical for optimizing optoelectronic and photocatalytic processes in many materials. However, it is hard to access the dynamics of such processes experimentally, especially on systems such as monolayer transition metal dichalcogenides, where various low-energy excitations pathways can compete for exciton thermalization. Here, we study exciton dynamics due to exciton-phonon scattering in monolayer MoS2 from a first-principles, interacting Green's function approach, to obtain the relaxation and thermalization of low-energy excitons...

The Reliability of Hybrid Functionals for Accurate Fundamental and Optical Gap Prediction of Bulk Solids and Surfaces

Francisca Sagredo
María Camarasa-Gómez
Francesco Ricci
Aurélie Champagne
Leeor Kronik
Jeffrey B. Neaton
2025

Hybrid functionals have been considered insufficiently reliable for the prediction of band gaps in solids and surfaces. We revisit this issue with a new generation of optimally tuned range-separated hybrid functionals, focusing on the reconstructed Si(111)-(2×1) and Ge(111)-(2×1) surfaces. We show that certain hybrid functionals can accurately predict the surface-state and bulk fundamental and optical gaps, as well as projected band structures of these surfaces, by combining ground-state and time-dependent density functional theory.

Atomate2: modular workflows for materials science

Alex M. Ganose
Hrushikesh Sahasrabuddhe
Mark Asta
Kevin Beck
Tathagata Biswas
Alexander Bonkowski
Joana Bustamante
Xin Chen
Yuan Chiang
Daryl C. Chrzan
Jacob Clary
Orion A. Cohen
Christina Ertural
Max C. Gallant
Janine George
Sophie Gerits
Rhys E. A. Goodall
Rishabh D. Guha
Geoffroy Hautier
Matthew Horton
T. J. Inizan
Aaron D. Kaplan
Ryan S. Kingsbury
Matthew C. Kuner
Bryant Li
Xavier Linn
Matthew J. McDermott
Rohith Srinivaas Mohanakrishnan
Aakash N. Naik
Jeffrey B. Neaton
Shehan M. Parmar
Kristin A. Persson
Guido Petretto
Thomas A. R. Purcell
Francesco Ricci
Benjamin Rich
Janosh Riebesell
Gian-Marco Rignanese
Andrew S. Rosen
Matthias Scheffler
Jonathan Schmidt
Jimmy-Xuan Shen
Andrei Sobolev
Ravishankar Sundararaman
Cooper Tezak
Victor Trinquet
Joel B. Varley
Derek Vigil-Fowler
Duo Wang
David Waroquiers
Mingjian Wen
Han Yang
Hui Zheng
Jiongzhi Zheng
Zhuoying Zhu
Anubhav Jain
2025

High-throughput density functional theory (DFT) calculations have become a vital element of computational materials science, enabling materials screening, property database generation, and training of “universal” machine learning models. While several software frameworks have emerged to support these computational efforts, new developments such as machine learned force fields have increased demands for more flexible and programmable workflow solutions. This manuscript introduces atomate2, a comprehensive evolution of our original atomate framework, designed to address existing...

Graphene-driven correlated electronic states in one dimensional defects within WS2

Antonio Rossi
John C. Thomas
Johannes T. Küchle
Elyse Barré
Zhuohang Yu
Da Zhou
Shalini Kumari
Hsin-Zon Tsai
Ed Wong
Chris Jozwiak
Aaron Bostwick
Joshua A. Robinson
Mauricio Terrones
Archana Raja
Adam Schwartzberg
D. Frank Ogletree
Jeffrey B. Neaton
Michael F. Crommie
Francesco Allegretti
Willi Auwärter
Eli Rotenberg
Alexander Weber-Bargioni
2025

Tomonaga-Luttinger liquid (TLL) behavior in one-dimensional systems has been predicted and shown to occur at semiconductor-to-metal transitions within two-dimensional materials. Reports of one-dimensional defects hosting a Fermi liquid or a TLL have suggested a dependence on the underlying substrate, however, unveiling the physical details of electronic contributions from the substrate require cross-correlative investigation. Here, we study TLL formation within defectively engineered WS2 atop graphene, where band structure and the atomic environment is...

Accelerated data-driven materials science with the Materials Project

Matthew K. Horton
Patrick Huck
Ruo Xi Yang
Jason M. Munro
Shyam Dwaraknath
Alex M. Ganose
Ryan S. Kingsbury
Mingjian Wen
Jimmy X. Shen
Tyler S. Mathis
Aaron D. Kaplan
Karlo Berket
Janosh Riebesell
Janine George
Andrew S. Rosen
Evan W. C. Spotte-Smith
Matthew J. McDermott
Orion A. Cohen
Alex Dunn
Matthew C. Kuner
Gian-Marco Rignanese
Guido Petretto
David Waroquiers
Sinead M. Griffin
Jeffrey B. Neaton
Daryl C. Chrzan
Mark Asta
Geoffroy Hautier
Shreyas Cholia
Gerbrand Ceder
Shyue Ping Ong
Anubhav Jain
Kristin A. Persson
2025

The Materials Project was launched formally in 2011 to drive materials discovery forwards through high-throughput computation and open data. More than a decade later, the Materials Project has become an indispensable tool used by more than 600,000 materials researchers around the world. This Perspective describes how the Materials Project, as a data platform and a software ecosystem, has helped to shape research in data-driven materials science. We cover how sustainable software and computational methods have accelerated materials design while becoming more open source and...

Bulk-Rashba Effect with Suppressed Spin Relaxation in a Polar Phase of Bi1-xIn1+xO3

Deokyoung Kang
Xue-Zeng Lu
Megha Acharya
Sajid Husain
Isaac Harris
Piush Behera
Ching-Che Lin
Ella Banyas
Alex Smith
Francesco Ricci
Menglin Zhu
Bridget R. Denzer
Tanguy Terlier
Shu Wang
Tae Yeon Kim
Lucas Caretta
Douglas Natelson
James M. LeBeau
Jeffrey B. Neaton
Ramamoorthy Ramesh
James M. Rondinelli
Lane W. Martin
2025

The Rashba effect enables control over the spin degree of freedom, particularly in polar materials where the polar symmetry couples to Rashba-type spin splitting. The exploration of this effect, however, has been hindered by the scarcity of polar materials exhibiting the bulk-Rashba effect and rapid spin-relaxation effects dictated by the D'yakonov–Perel mechanism. Here, a polar LiNbO3-type R3c phase of Bi1-xIn1+xO3 with x...