output
20172026
most citedOn-the-fly Closed-loop Autonomous Materials Discovery via Bayesian Active Learning

549 citations

51 papers

cond-mat.mtrl-sci2026

Direct observation of a spin-polarized surface Dirac gap in the antiferromagnetic topological insulator NdBi

Yuto Fukushima, Hiroyuki S. Suzuki, Masayuki Ochi +15

A gapped Dirac cone in antiferromagnetic topological insulators (AFM-TIs) is essential for realizing the quantized anomalous Hall effect, yet its intrinsic magnitude remains contro…

cond-mat.supr-con2022★ 120 cited

Detection of a Pair Density Wave State in UTe

Qiangqiang Gu, Joseph P. Carroll, Shuqiu Wang +8

Spin-triplet topological superconductors should exhibit many unprecedented electronic properties including fractionalized electronic states relevant to quantum information processi…

cond-mat.supr-con2022★ 27 cited

Ubiquitous Spin Freezing in the Superconducting State of UTe2

Shyam Sundar, N. Azari, M. Goeks +17

In most superconductors electrons form Cooper pairs in a spin-singlet state mediated by either phonons or by long-range interactions such as spin fluctuations. The superconductor U…

cond-mat.supr-con2022★ 77 cited

Magnetic-field sensitive charge density wave orders in the superconducting phase of UTe2

Anuva Aishwarya, Julian May-Mann, Arjun Raghavan +8

The intense interest in triplet superconductivity partly stems from theoretical predictions of exotic excitations such as non-abelian Majorana modes, chiral supercurrents, and half…

cond-mat.str-el2021★ 40 cited

Symmetry of magnetic correlations in spin-triplet superconductor UTe2

Nicholas P. Butch, Sheng Ran, Shanta R. Saha +6

The temperature dependence of the low-energy magnetic excitations in the spin-triplet superconductor UTe was measured via inelastic neutron scattering in the normal and superco…

cond-mat.mtrl-sci2021★ 2 cited

Observation of the superconducting proximity effect from surface states in SmB/YB thin film heterostructures via terahertz spectroscopy

Jonathan Stensberg, Xingyue Han, Seunghun Lee +5

The AC conduction of epitaxially-grown SmB thin films and superconducting heterostructures of SmB/YB are investigated via time domain terahertz spectroscopy. A two-chan…

cond-mat.supr-con2021★ 22 cited

Thermal Hall conductivity of electron-doped cuprates

Marie-Eve Boulanger, Gaël Grissonnanche, Étienne Lefrançois +5

Measurements of the thermal Hall conductivity in hole-doped cuprates have shown that phonons acquire chirality in a magnetic field, both in the pseudogap phase and in the Mott insu…

cond-mat.mes-hall2021★ 7 cited

Observation of a flat and extended surface state in a topological semimetal

Ryo Mori, Kefeng Wang, Takahiro Morimoto +3

A topological flatband, also known as drumhead states, is an ideal platform to drive new exotic topological quantum phases. Using angle-resolved photoemission spectroscopy experime…

cond-mat.mtrl-sci2021★ 10 cited

Physics in the Machine: Integrating Physical Knowledge in Autonomous Phase-Mapping

A. Gilad Kusne, Austin McDannald, Brian DeCost +5

Application of artificial intelligence (AI), and more specifically machine learning, to the physical sciences has expanded significantly over the past decades. In particular, scien…

cond-mat.mes-hall2021★ 15 cited

Charge Density Wave Activated Excitons in TiSe-MoSe Heterostructures

Jaydeep Joshi, Benedikt Scharf, Igor Mazin +6

Layered materials enable the assembly of a new class of heterostructures where lattice-matching is no longer a requirement. Interfaces in these heterostructures therefore become a…

cond-mat.str-el2021★ 17 cited

A counterexample to the conjectured Planckian bound on transport

Nicholas R. Poniatowski, Tarapada Sarkar, Ricardo P. S. M. Lobo +2

It has recently been conjectured that the transport relaxation rate in metals is bounded above by the temperature of the system. In this work, we discuss the transport phenomenolog…

cond-mat.mtrl-sci2021★ 56 cited

On-the-fly Autonomous Control of Neutron Diffraction via Physics-Informed Bayesian Active Learning

Austin McDannald, Matthias Frontzek, Andrei T. Savici +8

Neutron scattering is a unique and versatile characterization technique for probing the magnetic structure and dynamics of materials. However, instruments at neutron scattering fac…

cond-mat.str-el2021★ 3 cited

Absence of precursor incommensurate charge order in electronic nematic Ba0.35Sr0.65Ni2As2

John Collini, Sangjun Lee, Stella X. -L. Sun +5

Recent discoveries of charge order and electronic nematic order in the iron-based superconductors and cuprates have pointed towards the possibility of nematic and charge fluctuatio…

cond-mat.supr-con2021★ 14 cited

Campbell penetration depth in low carrier density superconductor YPtBi

Hyunsoo Kim, Makariy A. Tanatar, Halyna Hodovanets +3

Magnetic penetration depth, , was measured as a function of temperature and magnetic field in single crystals of low carrier density superconductor YPtBi by using a tunnel-d…

cond-mat.supr-con2021★ 112 cited

Universal scaling of the critical temperature and the strange-metal scattering rate in unconventional superconductors

Jie Yuan, Qihong Chen, Kun Jiang +17

Dramatic evolution of properties with minute change in the doping level is a hallmark of the complex chemistry which governs cuprate superconductivity as manifested in the celebrat…

cond-mat.str-el2021★ 35 cited

Multiple charge density waves and superconductivity nucleation at antiphase domain walls in the nematic pnictide BaSrNiAs

Sangjun Lee, John Collini, Stella X. -L. Sun +6

How superconductivity interacts with charge or nematic order is one of the great unresolved issues at the center of research in quantum materials. BaSrNiAs$_{2}…

cond-mat.str-el2021★ 17 cited

Anomalous symmetry breaking in Weyl semimetal CeAlGe

H. Hodovanets, C. J. Eckberg, Y. Eo +7

CeAlGe, a proposed type-II Weyl semimetal, orders antiferromagnetically below 5 K. At 2 K, spin-flop and a spin-flip transitions to less than 1 /Ce are observed in the …

cond-mat.str-el2021★ 49 cited

-axis transport in UTe: Evidence of Three Dimensional Conductivity Component

Yun Suk Eo, Shouzheng Liu, Shanta R. Saha +13

We study the temperature dependence of electrical resistivity for currents directed along all crystallographic axes of the spin-triplet superconductor UTe. We focus particula…

cond-mat.supr-con2020★ 12 cited

BCS -wave behavior in the THz electrodynamic response of electron-doped cuprate superconductors

Zhenisbek Tagay, Fahad Mahmood, Anaelle Legros +3

Although cuprate superconductors have been intensively studied for the past decades, there is no consensus regarding the microscopic origin of their superconductivity. In this work…

cond-mat.str-el2020★ 10 cited

Bulk transport paths through defects in floating zone and Al flux grown SmB

Yun Suk Eo, Alexa Rakoski, Shriya Sinha +16

We investigate the roles of disorder on low-temperature transport in SmB crystals grown by both the Al flux and floating zone methods. We used the inverted resistance method wi…

cond-mat.str-el2020★ 32 cited

Topologically-Driven Linear Magnetoresistance in Helimagnetic FeP

D. J. Campbell, J. Collini, J. Slawinska +11

The helimagnet FeP is part of a family of binary pnictide materials with the MnP-type structure which share a nonsymmorphic crystal symmetry that preserves generic band structure c…

cond-mat.str-el2020★ 15 cited

Resistivity saturation in an electron-doped cuprate

Nicholas R. Poniatowski, Tarapada Sarkar, Sankar Das Sarma +1

We report the observation of resistivity saturation in lightly doped ( as-grown samples of the electron-doped cuprate LaCeCuO (LCCO). The saturation oc…

cond-mat.mtrl-sci2020★ 173 cited

Giant topological longitudinal circular photo-galvanic effect in the chiral multifold semimetal CoSi

Zhuoliang Ni, K. Wang, Y. Zhang +10

The absence of mirror symmetry, or chirality, is behind striking natural phenomena found in systems as diverse as DNA and crystalline solids. A remarkable example occurs when chira…

cond-mat.mtrl-sci2020★ 549 cited

On-the-fly Closed-loop Autonomous Materials Discovery via Bayesian Active Learning

A. Gilad Kusne, Heshan Yu, Changming Wu +13

Active learning - the field of machine learning (ML) dedicated to optimal experiment design, has played a part in science as far back as the 18th century when Laplace used it to gu…