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Discovery of chalcogenides structures and compositions using mixed fluxes
Advancements in many modern technologies rely on the continuous need for materials
discovery. However, the design of synthesis routes leading to new and targeted solid-state …
discovery. However, the design of synthesis routes leading to new and targeted solid-state …
Topochemical deintercalation of Li from layered LiNiB: toward 2D MBene
The pursuit of two-dimensional (2D) borides, MBenes, has proven to be challenging, not the
least because of the lack of a suitable precursor prone to the deintercalation. Here, we …
least because of the lack of a suitable precursor prone to the deintercalation. Here, we …
[HTML][HTML] Metastable materials discovery in the age of large-scale computation
Computational materials discovery has been successful in predicting novel, technologically
relevant materials. However, it has remained focused almost exclusively on finding ground …
relevant materials. However, it has remained focused almost exclusively on finding ground …
Inverse design of materials that exhibit the magnetocaloric effect by text-mining of the scientific literature and generative deep learning
Magnetic materials play an important role in a wide variety of everyday applications, and
they are critical components in many devices used for energy conversion. However, there …
they are critical components in many devices used for energy conversion. However, there …
Discovery of ternary antimonides A–Al–Sb (A= Rb or Cs) with desired structural motifs guided by machine learning
Specific structural motifs in inorganic solids are often related to their targeted physical
properties. For many classes of solids, such as Zintl phases and polar intermetallics, the …
properties. For many classes of solids, such as Zintl phases and polar intermetallics, the …
High-entropy alloy screening for halide perovskites
As the concept of high-entropy alloying (HEA) extends beyond metals, new materials
screening methods are needed. Halide perovskites (HP) are a prime case study because …
screening methods are needed. Halide perovskites (HP) are a prime case study because …
A facile route to plastic inorganic electrolytes for all-solid state batteries based on molecular design
Solid-state lithium batteries are on the threshold of commercialization as an alternative to
liquid electrolyte batteries. Glassy or amorphous solid electrolytes could bring crucial …
liquid electrolyte batteries. Glassy or amorphous solid electrolytes could bring crucial …
Enhanced Thermoelectric Efficiency through Li-Induced Phonon Softening in CuGaTe2
Thermoelectric materials convert thermal energy into electrical energy and can be a solution
for the global climate crisis. For advanced thermoelectric applications, the conversion …
for the global climate crisis. For advanced thermoelectric applications, the conversion …
Deep Learning Models to Identify Common Phases across Material Systems from X-ray Diffraction
X-ray diffraction (XRD) is an indispensable tool for materials discovery and development,
allowing researchers to confirm the synthesis of expected phases and determine the …
allowing researchers to confirm the synthesis of expected phases and determine the …
Revealing Hidden Patterns through Chemical Intuition and Interpretable Machine Learning: A Case Study of Binary Rare-Earth Intermetallics RX
Machine learning algorithms have been applied successfully in many areas of materials
chemistry but often suffer from an inability to extract chemical insight. To demonstrate that an …
chemistry but often suffer from an inability to extract chemical insight. To demonstrate that an …