Into the Unknown: How Computation Can Help Explore Uncharted Material Space.

Area of Science:

• Materials Science
• Computational Chemistry
• Nanotechnology

Background:

• Urgent need for novel functional materials to address global challenges like climate change and resource scarcity.
• Traditional experimental materials discovery is slow and limited by the vastness of potential material space.
• Current computational approaches often postrationalize experimental results rather than leading discovery.

Purpose of the Study:

• To discuss challenges in implementing computation-driven materials discovery workflows.
• To highlight progress in the field of computational materials science.
• To emphasize obstacles in discovering truly novel materials.

Main Methods:

• Review of computational approaches in materials discovery.
• Analysis of challenges in integrating computation and experimentation.
• Discussion of advancements in open-source software, databases, and hardware.

Main Results:

• Computational methods offer significant potential to accelerate rational materials development.
• The full predictive power of computation, where theory guides experimentation, remains largely untapped.
• Exploration is often confined to local material spaces, missing novel properties.

Conclusions:

• Overcoming challenges in computation-driven workflows is key to unlocking novel materials.
• Enhanced utilization of computational power is essential for efficient materials discovery.
• Bridging the gap between computational prediction and experimental validation is critical.