Xiaoxing Xia, materials engineering research scientist at Lawrence Livermore National Laboratory
Photo: MIT Technology Review Innovators Under 35; photographer not stated · Publisher-directed editorial display; source copyright retained

FigureAsia 35 Under 35 · Science

Xiaoxing Xia

Age 34 · Ultrafast nanoscale additive manufacturing · China / United States

Co-creator of a parallel two-photon manufacturing platform exceeding 100 million voxels per second.

Approximate age at the edition eligibility date
34
Field
Advanced manufacturing
Country or region
China / United States
FigureAsia U35 Assessment
89.7 / 100

Career and documented record

Two-photon lithography can print intricate nanoscale structures, but its serial laser focus has kept throughput painfully low. In a 2025 Nature paper, Xiaoxing Xia and collaborators combined a metalens array with adaptive illumination to create roughly 120,000 controlled focal points in parallel.

The system reported more than 100 million voxels per second—around three orders of magnitude faster than conventional serial approaches—while retaining the resolution needed for complex microstructures. Contribution records credit Xia with co-conceiving the project, building the system and developing key algorithms.

Potential uses range from fusion targets to photonic and quantum devices. Those applications still demand material-specific qualification, but the manufacturing advance is already concrete: parallelism at a scale that changes what high-resolution additive fabrication can attempt.

Why Xiaoxing Xia is on the list

Xia earns a high position because the result removes a fundamental throughput constraint with both optical and computational invention. The authorship record makes her personal responsibility unusually clear inside a large national-laboratory collaboration.

The 2025–26 record

Massively parallel two-photon printing

Co-developed an adaptive metalens platform with approximately 120,000 foci.

Throughput threshold

Reported fabrication above 10^8 voxels per second, roughly a thousandfold serial-speed improvement.

System and algorithm leadership

Co-conceived the work, built the platform and developed adaptive-control algorithms.

The work in its field

High-resolution additive manufacturing has faced a trade-off between detail and volume. Massive optical parallelism changes that trade-off rather than merely tuning a serial process.

Assessment breakdown

89.7out of 100

01

Substantive 2025–2026 contribution

17.4 / 20

Co-developed an adaptive metalens platform with approximately 120,000 foci.

02

Verified scientific impact

13 / 15

The Nature result crosses a meaningful throughput threshold for a widely used high-resolution fabrication method.

03

Originality and distinction

9 / 10

The distinction lies in combining metalens-scale optical parallelism with adaptive illumination and algorithmic control.

04

Field influence

9.1 / 10

The contribution gives ultrafast nanoscale additive manufacturing a new method, limit or line of argument with relevance beyond one paper.

05

Individual agency

9.1 / 10

The paper's contribution statement assigns Xia conception, system construction and algorithm development.

06

Durability and trajectory

4.6 / 5

The record shows continuity at Lawrence Livermore National Laboratory: this contribution belongs to a wider, sustained agenda.

07

Asian significance and global relevance

4.6 / 5

Chinese-born engineer working in the United States national-laboratory system.

08

Evidential validity and reproducibility

7.3 / 8

Measured throughput and fabricated structures support the claim; industrial economics are kept outside the result.

09

Advance in scientific knowledge

6.4 / 7

The experiment demonstrates that extreme parallelism can preserve useful nanoscale fabrication control.

10

Translational or methodological utility

4.6 / 5

The platform could expand practical fabrication of photonic, fusion and quantum microstructures.

11

Responsible research stewardship

4.6 / 5

The profile distinguishes demonstrated manufacturing capability from downstream device qualification.

Evidence and attribution

Material claims on this page are supported by the edition’s evidence record. FigureAsia tests age, identity, role, result and individual attribution before publication. Public profiles present the reported record; supporting documentation is retained for accuracy review and corrections.

Achievement records
3
Assessment window
2025–26
Editorial status
Included in the 2026 FigureAsia 35 Under 35 edition

Rights and credit

The portrait is published under the rights basis recorded for this edition. Third-party ownership and reuse restrictions remain in force.

Publication status
Published under a documented rights basis
Credit
MIT Technology Review Innovators Under 35; photographer not stated
Licence
Publisher-directed editorial display; source copyright retained
Portrait source and credit